title: Automated assessment of ovarian follicles using a novel three-dimensional ultrasound software.
abstract: OBJECTIVE
  To evaluate the accuracy, efficiency, and applicability of a new automated method of follicular assessment.
  
  
  METHODS
  Retrospective review of three-dimensional ultrasonographic ovarian volumes.
  
  
  METHODS
  Academic center.
  
  
  METHODS
  Three-dimensional ovarian volumes from patients undergoing IVF.
  
  
  METHODS
  Three-dimensional volumes of gonadotropin-stimulated ovaries and simulated ovarian follicles (SOFs) of known volume were evaluated with the new automated follicular assessment software (SonoAVC).
  
  
  METHODS
  [1] Maximum absolute error for the SonoAVC in assessing the volumes of the SOFs; [2] correlations between the automated and manual follicular measurements; [3] time required to analyze all of the follicles in a given ovarian volume.
  
  
  RESULTS
  The SOF of 4, 6, and 10 mm were evaluated. The SonoAVC's maximum absolute error for the volumes of the 4, 6, and 10 mm SOFs was 0 (0%), 0.01 (8.3%), and 0.02 (3.8%) cc, respectively. Three hundred forty-seven follicles, ranging in diameter from 2.3-32 mm, were evaluated. The correlation coefficient for the SonoAVC-generated relaxed follicular diameter and the manual measured mean follicular diameter was 0.99. The time required to analyze all of the follicles in a given ovarian volume for the automated and manual method was 133 versus 361 seconds, respectively.
  
  
  CONCLUSIONS
  The SonoAVC proved to be a very accurate and efficient way to measure ovarian follicles. The measurements obtained by the SonoAVC correlated extremely well with the manual measurements we obtained.
authors.affiliation: Jones Institute for Reproductive Medicine, Eastern Virginia Medical School, Norfolk, Virginia, USA. deutchtd@evms.edu
authors.forename: Todd D
authors.initials: TD
authors.lastname: Deutch
authors.forename: Iris
authors.initials: I
authors.lastname: Joergner
authors.forename: David O
authors.initials: DO
authors.lastname: Matson
authors.forename: Sergio
authors.initials: S
authors.lastname: Oehninger
authors.forename: Silvina
authors.initials: S
authors.lastname: Bocca
authors.forename: Dieter
authors.initials: D
authors.lastname: Hoenigmann
authors.forename: Alfred
authors.initials: A
authors.lastname: Abuhamad
mesh_terms: D004526:Efficiency; D001330:Electronic Data Processing / Q000379:methods; D005260:Female; D005307:Fertilization in Vitro; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007247:Infertility, Female / Q000000981:diagnostic imaging / Q000473:pathology / Q000628:therapy; D009929:Organ Size / Q000502:physiology; D006080:Ovarian Follicle / Q000000981:diagnostic imaging* / Q000473:pathology; D010053:Ovary / Q000000981:diagnostic imaging; D010062:Ovulation Induction / Q000379:methods; D011247:Pregnancy; D012680:Sensitivity and Specificity; D012984:Software; D014463:Ultrasonography